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Investigation of Process Parameter Optimization of High Speed CNC Milling for Composite Materials using Combined Genetic Algorit
Engineering and Construction
Pages 8 (2008 words)
INVESTIGATION OF PROCESS PARAMETER OPTIMIZATION OF HIGH SPEED CNC MILLING FOR COMPOSITE MATERIALS USING COMBINED GENETIC ALGORITHAM AN ARTIFICALNEURALNETWORK Ph.d-Research proposal (1) Abstract: Machinability in terms of quality and productivity is of great concern in a competitive market…
To have a balance between productivity and quality, the machining parameters need to be optimised. This research work intends to optimise the parameters of CNC milling process by the application of artificial neural networks and genetic algorithms. The parameters are optimised for improved surface finish and higher material removal rate. (2) Introduction: High speed CNC milling process needs to balance between productivity and quality of the end product. While quality is measured in terms of surface finish, the productivity is measured in terms of material removal rate. Good machinable materials acquire a smooth finish as they can be easily cut with less power. They also cause minimum damage to the tool. If the material has improved material properties then it’s machinablity becomes difficult. Hence improving machinability without sacrificing performance is a challenge. Predicting the optimal parameters for CNC milling is difficult as the milling process depends on several factors. The important factors relative to the material include the thermal conductivity, toughness, chemical properties and the microstructure of the material. The other important factors are the geometry of the cutting tool and the parameters of CNC milling process. (3) Objectives : The aim of this research work is to Find the important factors that characterise the best performance of the high speed CNC milling process. ...
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